Abstract: Synchronous machines are fundamental components. Accurate modelling of nonlinear magnetic saturation characteristics is essential. Traditional models often rely on computationally intensive ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: Synchronous reluctance machines (SynRMs) offer significant advantages in industrial and traction applications, but their complex structures and dependence on time-consuming finite element ...
This repository contains the full simulation code accompanying the above paper. The framework develops and validates adaptive and robust closed-loop controllers for regulating latent cognitive arousal ...
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